Applied AI Engineer: End-to-End ML for Fleet Ops

Axle Mobility; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation + early-stage equity

Medical, dental, and vision insurance

401k plan

Home-office and equipment budget

Frequent team meetups

Job summary

A technology startup specializing in AI solutions is looking for an Applied AI Engineer to design and deploy AI-powered features. In this role, you will work with both structured and unstructured data to enhance fleet operations. Candidates should have 2-5 years of experience in AI/ML, strong Python skills, and be comfortable in a startup environment. The company offers competitive compensation, benefits, and an opportunity to influence AI applications in real-world scenarios.

Qualifications

• 2-5 years of applied AI/ML engineering experience in relevant settings.
• Strong Python skills with experience in machine learning frameworks.
• Hands-on experience with speech-to-text systems or classification models.

Responsibilities

• Design, train, and deploy AI-powered features.
• Integrate models directly into mobile and web products.
• Monitor production performance and tune for efficiency.

Skills

Applied AI/ML engineering experience

Strong Python skills

Experience in ML/NLP frameworks

Hands-on experience with speech-to-text systems

Comfortable with unstructured datasets

Collaborative

Job description

A technology startup specializing in AI solutions is looking for an Applied AI Engineer to design and deploy AI-powered features. In this role, you will work with both structured and unstructured data to enhance fleet operations. Candidates should have 2-5 years of experience in AI/ML, strong Python skills, and be comfortable in a startup environment. The company offers competitive compensation, benefits, and an opportunity to influence AI applications in real-world scenarios.